21 citations · 37 across the 29 of their papers we have counts for
5 papers · 1 filter
TITAN: Bringing The Deep Image Prior to Implicit Representations
Lorenzo Luzi, Daniel LeJeune, Ali Siahkoohi +6
We study the interpolation capabilities of implicit neural representations (INRs) of images. In principle, INRs promise a number of advantages, such as continuous derivatives and a…
A Visual Tour Of Current Challenges In Multimodal Language Models
Shashank Sonkar, Naiming Liu, Richard G. Baraniuk
Transformer models trained on massive text corpora have become the de facto models for a wide range of natural language processing tasks. However, learning effective word represent…
Automated Scoring for Reading Comprehension via In-context BERT Tuning
Nigel Fernandez, Aritra Ghosh, Naiming Liu +4
Automated scoring of open-ended student responses has the potential to significantly reduce human grader effort. Recent advances in automated scoring often leverage textual represe…
GPT-based Open-Ended Knowledge Tracing
Naiming Liu, Zichao Wang, Richard G. Baraniuk +1
In education applications, knowledge tracing refers to the problem of estimating students' time-varying concept/skill mastery level from their past responses to questions and predi…
NeuroView-RNN: It's About Time
CJ Barberan, Sina Alemohammad, Naiming Liu +2
Recurrent Neural Networks (RNNs) are important tools for processing sequential data such as time-series or video. Interpretability is defined as the ability to be understood by a p…